HeteroFL Blockchain Approach-Based Security for Cognitive Internet of Things

【Author】 Wadhwa, Shivani; Rani, Shalli; Kaur, Gagandeep; Koundal, Deepika; Zaguia, Atef; Enbeyle, Wegayehu

【Source】WIRELESS COMMUNICATIONS & MOBILE COMPUTING

【影响因子】2.146

【Abstract】Cognitive learning is progressively prospering in the field of Internet of Things (IoT). With the advancement in IoT, data generation rate has also increased, whereas issues like performance, attacks on the data, security of the data, and inadequate data resources are yet to be resolved. Recent studies are mostly focusing on the security of the data which can be handled by blockchain. Blockchain technology records the learned data into the block which is generated after completing proper consensus mechanism. In this paper, Hetero Federated Learning approach is used to apply cognitive learning on data produced by Internet of Thing devices. Security on cognitiveIoT data is provided by blockchain using Proof of Work consensus mechanism. By applying blockchain over heteroFL approach, we have conducted various simulations to check the performance of our proposed framework. Parameters taken into consideration during performance evaluation are effect of number of blocks on memory utilization and impact of data sample size on accuracy according to different learning rates.

【Keywords】

【发表时间】2022 MAR 7

【收录时间】2022-04-22

【文献类型】期刊

【主题类别】

区块链技术-物联网-